484 citations · 1.3k across the 23 of their papers we have counts for
25 papers
Large-scale Global Low-rank Optimization for Computational Compressed Imaging
Daoyu Li, Hanwen Xu, Miao Cao +3
Computational reconstruction plays a vital role in computer vision and computational photography. Most of the conventional optimization and deep learning techniques explore local i…
Array Camera Image Fusion using Physics-Aware Transformers
Qian Huang, Minghao Hu, David Jones Brady
We demonstrate a physics-aware transformer for feature-based data fusion from cameras with diverse resolution, color spaces, focal planes, focal lengths, and exposure. We also demo…
Scatter Ptychography
Qian Huang, Zhipeng Dong, Yuzuru Takashima +2
Coherent illumination reflected by a remote target may be secondarily scattered by intermediate objects or materials. Here we show that phase retrieval on remotely observed images…
Snapshot Ptychography on Array cameras
Chengyu Wang, Minghao Hu, Yuzuru Takashima +2
We use convolutional neural networks to recover images optically down-sampled by using coherent aperture synthesis over a 16 camera array. Where conventional ptychograp…
Computational Imaging and Artificial Intelligence: The Next Revolution of Mobile Vision
Jinli Suo, Weihang Zhang, Jin Gong +3
Signal capture stands in the forefront to perceive and understand the environment and thus imaging plays the pivotal role in mobile vision. Recent explosive progresses in Artificia…
Snapshot Compressive Imaging: Principle, Implementation, Theory, Algorithms and Applications
Xin Yuan, David J. Brady, Aggelos K. Katsaggelos
Capturing high-dimensional (HD) data is a long-term challenge in signal processing and related fields. Snapshot compressive imaging (SCI) uses a two-dimensional (2D) detector to ca…